MinIO
Exascale storage for AI and analytics, with native access through S3, Iceberg, and SFTP.
About MinIO
MinIO is an exascale data store for AI, agentic computing, and analytics. AIStor supports S3 for object data, Iceberg for tables, and SFTP for files, so teams can place several data access patterns on one storage platform. It fits demanding infrastructure work such as distributed AI training, transaction analytics, and large-scale inference data. The free tier is a practical route for developers and small organizations that can operate a standalone single-node deployment with community and documentation support. Production teams can move to horizontally scalable multi-node subscriptions. Enterprise Lite is intended for self-supporting teams below 400 TiB and includes health diagnostics and security reporting; direct engineer support is an optional add-on with a stated response target under five days. Enterprise targets larger, mission-critical deployments with premium support. Buyers should account for the operational skill required to run storage infrastructure, the single-node limit of the free tier, and quote-based paid pricing before adoption.
Best for
Best use cases
Test AIStor features on one node before committing to a paid production architecture.
Scale AI training data, checkpoints, and model artifacts across a multi-node object store.
Consolidate transaction data for fraud, compliance, and risk analytics.
Compare before choosing
The Free plan removes subscription cost but restricts deployment to a standalone single node.
Enterprise Lite adds horizontal scaling and diagnostic reporting, while engineer support costs extra.
Enterprise targets mission-critical scale and premium support, but buyers must request pricing.
Features
AI training storage
Keep training data, checkpoints, and model artifacts in S3-compatible object storage designed to sustain demanding GPU data flows.
Transaction analytics
Consolidate transaction data for fraud detection, anti-money-laundering work, risk analysis, and other large analytical workloads.
AI inference context
Use the MemKV flash-based context memory tier for petascale inference workloads that rely on high-bandwidth RDMA access.
Pros
- The Free plan provides full product features without subscription cost for single-node development and research.
- Native S3, Iceberg, and SFTP support reduces the need to maintain separate stores for objects, tables, and files.
- Paid tiers add horizontally scalable multi-node deployment options for production AI and analytics workloads.
Cons
- The Free plan is limited to a standalone single node, so it does not cover distributed production architecture.
- Enterprise Lite expects teams to self-support, and direct engineer assistance is a separately priced add-on.
- Paid tier prices are quote-based, which makes upfront cost comparison and budget approval less direct.
Pricing Plans
Free
- Full-featured standalone single-node deployment
- Community Slack and documentation support
- Free of charge
Enterprise Lite
- Horizontally scalable multi-node architecture
- Lite SUBNET health diagnostics and security reporting
- Optional direct-to-engineer support with under five-day SLA
Enterprise
- Full-featured horizontally scalable multi-node architecture
- Designed for enterprise deployments
- Premium support
* Pricing information is for reference only. Please refer to the latest announcement on MinIO's official website.